Bayesian Statistics: An Introduction, 4th Edition

A.24 Multivariate normal distribution

An n-dimensional random vector has a multivariate normal distribution with mean vector and variance–covariance matrix , denoted

if it has joint density function

It can be checked by finding the determinant of the variance–covariance matrix

and inverting it that the bivariate normal distribution is a special case.